The Earth Science Colloquium Series presents:
Computationally Efficient Weather Analogs for Renewable Energy
Dr. Guido Cervone, E. Willard and Ruby S. Miller Professor, Geography, Meteorology & Atmospheric Science and Associate Director of the Institute for Computational and Data Sciences at Penn State. He is the elected President of the AGU Natural Hazards section. He also holds the appointment of Affiliate Professor, Instituto Sant’ Anna, Italy.
Abstract: In this talk I will showcase my research related to the generation of Weather Analogs using the AnEn technique. Accurate and reliable forecasts are paramount for integrating renewable energy in the portfolio of energy sources used. Some of the main challenges include the definition of a multi-dimensional similarity matrix based on deep learning for the analysis of full numerical model output realizations, and the generation of analogs for which no past similar conditions exist. This is a particularly important problem because of new weather and climate patterns that are significantly different than what was observed in the past. Finally, I will talk about the importance of sustainable computing practices, especially when power-hungry methods like deep learning are employed.
Host: Dr. Marco Tedesco, Lamont Research Professor, Marine and Polar Geophysics, Lamont-Doherty Earth Observatory.
